Data Scientist – Responsible AI

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $87.4k - $123.4k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Apply statistical analysis and experimentation to evaluate generative AI, agentic AI, and other AI-enabled applications • Develop and maintain Responsible AI measures, benchmark datasets, test suites, and evaluation criteria • Evaluate AI systems for fairness, bias, explainability, transparency, hallucination, safety, reliability, and robustness • Use evaluation results to support the design, testing, selection, and ongoing assessment of AI-enabled business applications • Establish performance baselines and help identify changes in model or application behavior over time • Design and execute proofs of concept for new Responsible AI evaluation approaches • Assess emerging Responsible AI tools, frameworks, and methodologies for validity, limitations, and business applicability • Support the integration of Responsible AI testing into application development, quality assurance, and governance processes • Partner with engineering, architecture, quality assurance, governance, and business teams to align evaluation methods with use case requirements • Create and maintain model cards, evaluation reports, methodology documentation, and related guidance • Communicate findings, limitations, risks, and recommendations to technical and nontechnical stakeholders • Contribute to Responsible AI training, internal education, applied research, and industry engagement • Monitor emerging technologies and evaluation methods related to generative AI, agentic AI, and Responsible AI.

🎯 Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Psychology, Economics, Operations Research, or another quantitative discipline • 2 to 5 years of experience in data science, statistical analysis, AI evaluation, applied research, or analytics • Strong Python programming skills and experience working with data analysis and AI evaluation tools • Strong SQL skills and experience working with large, complex datasets • Experience designing experiments, selecting appropriate measures, and interpreting statistical results • Experience evaluating generative AI applications, large language models, agentic systems, or other AI-enabled solutions • Knowledge of Responsible AI concepts, including fairness, bias, explainability, transparency, hallucination, safety, reliability, and robustness • Experience developing evaluation datasets, benchmarks, test cases, scorecards, or performance measures • Experience translating evaluation results into recommendations for business applications and technical teams • Experience with source control, automated testing, technical documentation, and basic software engineering practices • Ability to assess technical methodologies, identify limitations, and communicate findings clearly • Strong written and verbal communication skills • Ability to work independently and collaborate across technical, governance, and business teams.

🏖️ Benefits

• Medical, dental, vision and life insurance • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment that includes the option to wear jeans • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.